Home › Model Serving › ai-gateway

ai-gateway - AI Model Serving Tool

Overview

ai-gateway is an open-source API gateway that orchestrates AI model requests across multiple providers (for example: OpenAI, Anthropic, Gemini). It acts as a backend layer for managing and routing AI API calls. The project includes features for guardrails, cost control, custom endpoints, and detailed tracing using spans to improve observability and operational control.

Key Features

  • Multi-provider request routing (OpenAI, Anthropic, Gemini examples)
  • Configurable request and response guardrails
  • Cost controls and usage limits
  • Custom endpoints to expose unified model APIs
  • Detailed tracing with spans for observability
  • Centralized orchestration and routing logic
  • Provider-agnostic API gateway architecture

Ideal Use Cases

  • Centralize AI API access for multi-model applications
  • Enforce safety and compliance with request guardrails
  • Control and monitor AI consumption to manage costs
  • Expose unified custom endpoints for internal apps
  • Trace requests across providers for debugging and audit
  • Swap or compare model providers without code changes

Getting Started

  • Download the project release from the GitHub releases page
  • Install required dependencies following repository instructions
  • Configure provider credentials for each AI model vendor
  • Define routes and custom endpoints in the gateway configuration
  • Enable guardrails, cost controls, and tracing settings
  • Start the gateway and validate API request flows
  • Monitor tracing spans and logs to confirm behavior

Pricing

No pricing information provided. The project is open-source; check the repository or maintainers for any commercial support or hosted offerings.

Limitations

  • Requires self-hosting and operator-managed infrastructure
  • Does not provide models — routes requests to external providers
  • Requires separate provider accounts and credentials
  • Integration and configuration needed for custom endpoints and tracing

Key Information

  • Category: Model Serving
  • Type: AI Model Serving Tool
Visit Official Website

Related Tools

Replicate

Hosted inference platform to run, fine-tune, and deploy AI models via API.
Hugging Face

AI platform and hub for hosting, sharing, and running models, datasets, and apps with enterprise options.
Hugging Face Spaces

A platform for hosting machine learning demo apps with support for GPU acceleration, Docker, and custom Python environments.
HUGS

Optimized, zero‐configuration inference microservices from Hugging Face designed to simplify and accelerate the deployment of open AI models via an OpenAI‐compatible API.
OpenVINO

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference across various platforms. It supports models trained with popular frameworks and enhances performance for deep learning tasks in computer vision, automatic speech recognition, and natural language processing.
Hugging Face Hub

The official Python client for the Hugging Face Hub, allowing users to interact with pre-trained models and datasets, manage repositories, and run inference on deployed models.